Background: COVID-19 restrictions such as the closure of schools and parks, and the cancellation of youth sports and activity classes around the United States may prevent children from achieving recommended levels of physical activity (PA). This study examined the effects of the COVID-19 pandemic on PA and sedentary behavior (SB) in U.S. children. Method: Parents and legal guardians of U.S. children (ages 5-13) were recruited through convenience sampling and completed an online survey between April 25-May 16, 2020. Measures included an assessment of their child's previous day PA and SB by indicating time spent in 11 common types of PA and 12 common types of SB for children. Parents also reported perceived changes in levels of PA and SB between the pre-COVID-19 (February 2020) and early-COVID-19 (April-May 2020) periods. Additionally, parents reported locations (e.g., home/garage, parks/ trails, gyms/fitness centers) where their children had performed PA and their children's use of remote/streaming services for PA. Results: From parent reports, children (N = 211) (53% female, 13% Hispanic, M age = 8.73 [SD = 2.58] years) represented 35 states and the District of Columbia. The most common physical activities during the early-COVID-19 period were free play/unstructured activity (e.g., running around, tag) (90% of children) and going for a walk (55% of children). Children engaged in about 90 min of school-related sitting and over 8 h of leisure-related sitting a day. Parents of older children (ages 9-13) vs. younger children (ages 5-8) perceived greater decreases in PA and greater increases in SB from the pre-to early-COVID-19 periods. Children were more likely to perform PA at home indoors or on neighborhood streets during the early-vs. pre-COVID-19 periods. About a third of children used remote/ streaming services for activity classes and lessons during the early-COVID-19 period. Conclusion: Short-term changes in PA and SB in reaction to COVID-19 may become permanently entrenched, leading to increased risk of obesity, diabetes, and cardiovascular disease in children. Programmatic and policy strategies should be geared towards promoting PA and reducing SB over the next 12 months.

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Background Ecological momentary assessment (EMA) uses mobile technology to enable in situ self-report data collection on behaviors and states. In a typical EMA study, participants are prompted several times a day to answer sets of multiple-choice questions. Although the repeated nature of EMA reduces recall bias, it may induce participation burden. There is a need to explore complementary approaches to collecting in situ self-report data that are less burdensome yet provide comprehensive information on an individual’s behaviors and states. A new approach, microinteraction EMA (μEMA), restricts EMA items to single, cognitively simple questions answered on a smartwatch with single-tap assessments using a quick, glanceable microinteraction. However, the viability of using μEMA to capture behaviors and states in a large-scale longitudinal study has not yet been demonstrated. Objective This paper describes the μEMA protocol currently used in the Temporal Influences on Movement & Exercise (TIME) Study conducted with young adults, the interface of the μEMA app used to gather self-report responses on a smartwatch, qualitative feedback from participants after a pilot study of the μEMA app, changes made to the main TIME Study μEMA protocol and app based on the pilot feedback, and preliminary μEMA results from a subset of active participants in the TIME Study. Methods The TIME Study involves data collection on behaviors and states from 246 individuals; measurements include passive sensing from a smartwatch and smartphone and intensive smartphone-based hourly EMA, with 4-day EMA bursts every 2 weeks. Every day, participants also answer a nightly EMA survey. On non–EMA burst days, participants answer μEMA questions on the smartwatch, assessing momentary states such as physical activity, sedentary behavior, and affect. At the end of the study, participants describe their experience with EMA and μEMA in a semistructured interview. A pilot study was used to test and refine the μEMA protocol before the main study. Results Changes made to the μEMA study protocol based on pilot feedback included adjusting the single-question selection method and smartwatch vibrotactile prompting. We also added sensor-triggered questions for physical activity and sedentary behavior. As of June 2021, a total of 81 participants had completed at least 6 months of data collection in the main study. For 662,397 μEMA questions delivered, the compliance rate was 67.6% (SD 24.4%) and the completion rate was 79% (SD 22.2%). Conclusions The TIME Study provides opportunities to explore a novel approach for collecting temporally dense intensive longitudinal self-report data in a sustainable manner. Data suggest that μEMA may be valuable for understanding behaviors and states at the individual level, thus possibly supporting future longitudinal interventions that require within-day, temporally dense self-report data as people go about their lives.

The objective of this review was to summarize associations between ecological momentary assessment (EMA)-measured contextual factors and eating and dietary intake behaviors in children and adolescents. The inclusion criteria were availability of the study in English and use of EMA to study eating and dietary intake behaviors among children and/or adolescents (ages < 18). Literature searches were conducted in PsycInfo and PubMed databases across all dates until December 2018. A modified Checklist for Reporting EMA Studies was used to assess quality of studies. Eighteen articles from 15 independent studies were included in the systematic review. Contextual factors examined in relation to children's eating in studies included affect and stress; cognitive factors; social and environment factors; behavioral factors; and caregiver-related factors. Studies suggested there is strong evidence that cognitive and social factors have an effect on eating and dietary intake behaviors while the association between affect and eating and dietary intake behaviors remains mixed. Future studies should consider timing of effects, measure choice, individual difference and contextual factors, and developmental context.

Purpose: COVID-19 restrictions, social-distancing, and quarantining may inhibit U.S. adults from attaining recommended levels of physical activity. The aims of this study were to examine the early impact of the COVID-19 pandemic on physical activity in U.S. adults during the first month of COVID-19 restrictions, and whether changes in physical activity levels differed by demographic characteristics. Method: U.S. adults completed an online survey between April 10-May 5, 2020. Participants were recruited through convenience sampling from social media and mass emails. The analytic sample included 262 adults from 30 states and the District of Columbia. Using the short-form International Physical Activity Questionnaire (IPAQ), participants reported minutes of vigorous intensity, moderate intensity, and walking physical activity for a typical week in February 2020 (pre-COVID-19) and for the past 7 days (early-COVID-19). Participants also reported locations (e.g., home/garage, parks/trails, gyms/fitness centers) were they had performed physical activity over the past 7 days and demographic characteristics. Results: Participants (82% female, 20% Hispanic, 41% overweight/obese) ranged in age from 18-79 (M=32.9, SD=12.3) years. On average, significant reductions in vigorous intensity (-61.7 min/week, 37% decrease), moderate intensity (-84.1 min/week, 47% decrease), and walking (-104.4 min/week, 33% decrease) physical activity were observed during the early-COVID 19 period vs. pre-COVID-19 period. Reductions in vigorous intensity physical activity were greater for adults who were not working. Reductions in walking physical activity were greater for adults who were Hispanic or resided in lower income households. Conclusion: Vulnerable population subgroups may be harder hit by the COVID-19 pandemic in terms of its impact on health-related behaviors. Communication, programmatic, and COVID-19 and Physical Activity 3 policy efforts should be directed towards promoting physical activity in these at-risk groups during the COVID-19 pandemic.